Paper Citation Record · LEDGER

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.29856.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.29856 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T04:28:31.351929Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbf8fc08-ba4b-4174-b07d-516ebdfbbad9 · outbound

This paper cites SaTE: Low-latency traffic engineering for satellite networks,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks SaTE: Low-latency traffic engineering for satellite networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f353ef0b-1478-437b-97b7-f5c04d3152b0 · outbound

This paper cites STAR- RIS assisted train-to-ground communications in space-air-ground in- tegrated networks,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks STAR- RIS assisted train-to-ground communications in space-air-ground in- tegrated networks,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2afc9186-ae2e-4d36-b18e-696709246679 · outbound

This paper cites QoS provisioning in space information networks: Applications, challenges, architectures, and solutions,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks QoS provisioning in space information networks: Applications, challenges, architectures, and solutions,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83d36d8-1195-47a9-b49c-a6bd0c5c9952 · outbound

This paper cites Cellular traffic prediction with machine learning: A survey,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks Cellular traffic prediction with machine learning: A survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afbf7c7b-2714-4ed5-a6d1-f9e5528a5a5b · outbound

This paper cites DeepTP: An end-to- end neural network for mobile cellular traffic prediction,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks DeepTP: An end-to- end neural network for mobile cellular traffic prediction,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4314fdd3-af2b-46c0-aec9-b7d074c032c1 · outbound

This paper cites Intel- ligent traffic steering in beyond 5G open RAN based on LSTM traffic prediction,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks Intel- ligent traffic steering in beyond 5G open RAN based on LSTM traffic prediction,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af78809-0c09-4723-be2a-05a092acdd81 · outbound

This paper cites Satellite coverage traffic deviation prediction for LEO constellation networks based on CNN-LSTM method,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks Satellite coverage traffic deviation prediction for LEO constellation networks based on CNN-LSTM method,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed7363f-1963-4f9a-bbd6-d600758cba7e · outbound

This paper cites Self- similar traffic prediction for LEO satellite networks based on LSTM,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks Self- similar traffic prediction for LEO satellite networks based on LSTM,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 048a91a8-6721-408e-8f88-14a5f60ddc18 · outbound

This paper cites Spatial- temporal cellular traffic prediction for 5G and beyond: A graph neural networks-based approach,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks Spatial- temporal cellular traffic prediction for 5G and beyond: A graph neural networks-based approach,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceab5eb0-77be-434b-a5b5-63c2d375d7f2 · outbound

This paper cites A novel traffic prediction method for dynamic satellite networks based on graph attention networks,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks A novel traffic prediction method for dynamic satellite networks based on graph attention networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b34327-e6bb-4360-93a7-513d6eb21ad1 · outbound

This paper cites An LLM- enhanced conditional diffusion model for mobile traffic prediction,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks An LLM- enhanced conditional diffusion model for mobile traffic prediction,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fdaa49-78fd-425f-9fb9-ebdb3bc4a569 · outbound

This paper cites ST-GAGCN-LEO: A spatiotemporal graph attention and gated convolutional network for LEO satellite traffic prediction,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks ST-GAGCN-LEO: A spatiotemporal graph attention and gated convolutional network for LEO satellite traffic prediction,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a33d17e-130a-463b-8057-f8964da5aced · outbound

This paper cites Autonomous traffic prediction for LEO satellite-based IoT based on satellite spatiotemporal features mapping,.

LEOSTP: A Spatio-Temporal Traffic Prediction Framework for LEO Satellite Networks Autonomous traffic prediction for LEO satellite-based IoT based on satellite spatiotemporal features mapping,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-30T04:28:31.351929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.